# Company Headcount Observations — Duplicate Key Report + Category Frequencies

> Company Headcount Observations — Duplicate Key Report + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Analyzes up to 200 company headcount observation records to produce a duplicate key report and category frequency breakdown for headcount and open_roles fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-12-057?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/company-headcount-observations-duplicate-key-report-category-daa9cd3f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kn7MrjZG5WTegImICgzi5

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability company-headcount-observations-duplicate-key-report-category-daa9cd3f -d '<json body>'
```

Example prompt: Can you check my company headcount observation records for duplicate row IDs and give me a frequency breakdown by company_group? I have 4 rows: row-1 for group-a on 2026-10-01 with headcount 10 and 1 open role, row-2 for group-b on 2026-10-02 with headcount 20 and 2 open roles, row-3 for group-a on 2026-10-03 with headcount 15 and 3 open roles, and row-4 for group-b on 2026-10-04 with headcount 30 and 4 open roles.

## When to prefer this

Choose this endpoint when you need to quickly audit a batch of company headcount observation records (up to 200 rows) for duplicate row identifiers and want a frequency breakdown of company_group categories — all from locally supplied data with no external data dependencies. It is ideal for data quality pre-checks before ingestion or reporting pipelines.

## Known failure modes

- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes rejection
- Submitting zero rows returns a validation error
- Null numeric values for headcount or open_roles are accepted but may affect frequency results

## How this service works

Company headcount observations — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies for supplied company headcount observations records (headcount, open_roles). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) a duplicate key report identifying any row_ids that appear more than once in the submitted records, and (2) category frequency counts showing how often each company_group value appears across the submitted headcount observations. Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "headcount",
     "open_roles"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "headcount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "open_roles": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "headcount": 10,
     "open_roles": 1,
     "company_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "headcount": 20,
     "open_roles": 2,
     "company_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "headcount": 15,
     "open_roles": 3,
     "company_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "headcount": 30,
     "open_roles": 4,
     "company_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/company-headcount-observations-duplicate-key-report-category-daa9cd3f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)